Triple
T723176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1976 Summer Olympics |
E14661
|
entity |
| Predicate | IOCSessionAwardingGamesNumber |
P8628
|
FINISHED |
| Object | 69 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 69 | Statement: [1976 Summer Olympics, IOCSessionAwardingGamesNumber, 69]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IOCSessionAwardingGamesNumber Context triple: [1976 Summer Olympics, IOCSessionAwardingGamesNumber, 69]
-
A.
awardedAtSessionNumber
chosen
Indicates the specific numbered session during which an award or recognition was given.
-
B.
decidingGameNumber
Indicates the specific game in a series whose outcome determines the overall winner of the series.
-
C.
gamesPlayed
Indicates the number or set of games that an entity has participated in or completed.
-
D.
tieGamesCount
Indicates the number of games in a set or series that ended in a tie, with no winner or loser.
-
E.
seriesWinningGame
Indicates that a particular game is the decisive or clinching game in which one side wins the overall series.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.